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. 2022 Apr 11;12:835929. doi: 10.3389/fonc.2022.835929

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Copyright © 2022 Minaei, Mueller, Ashford, Thind, Mitchell, Perry, Genenger, Clark, Gupta and Ranson

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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IPA causal network analysis depicting the interactions between upstream regulators, downstream genes, and physiological functions in cSCC. (A) MET vs. PRI+ comparison showing effect of predicted master regulator IL1RN (depth: 2). (B, C) MET vs. PRI- comparison showing predicted master regulators VEGFA (depth: 1) and EGF (depth: 1). Master regulators were predicted based on the causal paths known to influence the expression of their target genes leading to the physiological functions shown. Regulators with depth of 2 influence the expression of target genes via other regulators. Figure legend indicates whether genes were upregulated or downregulated in MET relative to PRI tumors; the predicted activation state of the upstream regulators, and the predicted relationships between these and downstream genes and functions.